Energy Saving Potential Estimation Models of Wired Access Networks for Green Internet 


Vol. 43,  No. 9, pp. 1414-1428, Sep.  2018
10.7840/kics.2018.43.9.1414


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  Abstract

Energy consumption of today’s wired data networks is driven by access networks. However, there is a lack of general and quantitative valuation basis considering different access network environments to apply green networking technologies to them. Existing models to estimate energy saving potential for access networks have poor generality and scalability because they are based on particular network equipment and technologies and limited to scale of access networks. This study proposes models estimating energy saving potential of access networks by green networking technologies with a top-down approach. It provides two network-based and traffic-based models for various modelling environments and requirements. The performance evaluation is achieved by comparing and analyzing the results of an experiment in terms of a reliability and accuracy, which LPI(Low Power Idle), green networking technology for Ethernet is applied to existing models and ours.

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  Cite this article

[IEEE Style]

Y. Suh, E. Kim, K. Kim, "Energy Saving Potential Estimation Models of Wired Access Networks for Green Internet," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 9, pp. 1414-1428, 2018. DOI: 10.7840/kics.2018.43.9.1414.

[ACM Style]

Yuhwa Suh, Eunhoe Kim, and Kiyoung Kim. 2018. Energy Saving Potential Estimation Models of Wired Access Networks for Green Internet. The Journal of Korean Institute of Communications and Information Sciences, 43, 9, (2018), 1414-1428. DOI: 10.7840/kics.2018.43.9.1414.

[KICS Style]

Yuhwa Suh, Eunhoe Kim, Kiyoung Kim, "Energy Saving Potential Estimation Models of Wired Access Networks for Green Internet," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 9, pp. 1414-1428, 9. 2018. (https://doi.org/10.7840/kics.2018.43.9.1414)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880